III. Introduction to Neural Networks And Their Applications - Basics

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Presentation transcript:

III. Introduction to Neural Networks And Their Applications - Basics

Introduction to Neural Networks and Its Applications I. Introduction of Neural Networks II. Application of Neural Networks III. Theory of Neural Networks IV. An Example . Weather Forcasting

I. Introduction of Neural Networks Learning in Human Brain Neurons Connection Between Neurons Neural Networks As Simulator For Human Brain Processing Elements or Nodes Weights

Main Applications of Neural Networks Prediction of Outcomes Patterns Detection in Data Classification

Why use Neural Networks in Predict

II. Applications of Neural Networks Computer Vision : Character recognition HNC : Read amount in checks NESTOR[Reilly et al , 1990]:Mortgage insurance decisions DAS/LARS[Casselman and Acks,1990] : large diagnostic system DECtalk[Sejnowski and Rosenberg, 1987] : Convert language to text Manufacturing System Controller[Park & Kim, 1991] : Ford motor Co.. Investment Decision Making System: Tong Yang Future & Options in Chicago

III. Theory of Neural Networks Network Structure : Layers, Nodes and Weights Hidden Layer Input Layer Output Layer

Training A Neural Networks The Key to the success of Neural Networks use is collecting a lot of good data Neural Networks learn from data Learning is finding best weights values that represent the input and output relationship in Neural Networks

Terms in Neural Networks

Testing and Validating a Neural Networks Testing data set : use another new data Check the performance of trained Neural Networks with a testing data If it’s performance of test is good , then check validity of Neural Networks with another new set of historical data

Prediction with New Data If the Neural Network's performance in test and validation is good , it can be used to predict outcome of new unseen data If the performance with test and validation is not good, you should collect more data, add more input variables

IV. A Neural Networks Demo Intro to neural networks http://www.youtube.com/watch?v=DG5-UyRBQD4&feature=rellist&playnext=1&list=PL4FA5D71B0BA92C1C Demo for stock market prediction http://www.youtube.com/watch?v=QoGUExdnSDA